Domestic agricultural value chain development and pro‐poor growth: A computable general equilibrium microsimulation application for the Democratic Republic of Congo

Date01 February 2019
AuthorChristian S. Otchia
DOIhttp://doi.org/10.1111/rode.12557
Published date01 February 2019
REGULAR ARTICLE
Domestic agricultural value chain development and
propoor growth: A computable general
equilibrium microsimulation application for the
Democratic Republic of Congo
Christian S. Otchia
School of International Studies, Kwansei
Gakuin University, Nishinomiya, Japan
Correspondence
Christian S. Otchia, School of
International Studies, Kwansei Gakuin
University, Uegahara, Nishinomiya,
Hyogo, Japan 662-8501.
Email: otchia@kwansei.ac.jp
Funding information
This research was supported by Japan
Society for the Promotion of Science
Class-A Grants-in-Aid for Scientific
Research No. 15H02620 and Grant-in-Aid
for Early-Career Scientists No.
18K18266. We also acknowledge the
Thomas Rutherford Scholarship provided
by the GAMS Development Corporation
and the Center for Global Trade Analysis,
Purdue University for generous financial
support.
Abstract
The economy of the Democratic Republic of Congo has
gained momentum between 2003 and 2015, with a high
annual growth rate of over 6%. However, poverty and
employment outcomes were relatively poor, while inequality
increased. This study uses a computable general equilibrium
(CGE) microsimulation model to study the propoor effect
of alternative growth strategy that is likely to strengthen the
competitiveness of agrofood products from the Congo. We
experimented with three differentscenarios: labor productiv-
ity growth, marketing efficiency, and transportation
efficiency. The simulations demonstrated that improving the
productivity of workers in agrofood industries has not only
produced strong relative propoor effects, but also has the
potential to lead to income convergence between rich and
poor households. The analysis also revealed the underesti-
mated contribution of agrofood marketing and transporta-
tion efficiency. The major finding is that marketing
efficiency favors the middle class. Efficiency gains in the
transportation of agrofood products generate strong pro
poor effects in absolute and relative terms and are likely to
be particularly effective in leading to income convergence.
This policy has the potential not only to increase income
and employment, but also to provide positive price impacts
for both producers and consumers and benefits to all house-
holds, particularly lowincome households.
DOI: 10.1111/rode.12557
Rev Dev Econ. 2019;23:475500. wileyonlinelibrary.com/journal/rode © 2018 John Wiley & Sons Ltd
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INTRODUCTION
The Democratic Republic of Congo (DRC) is a major producer and exporter of minerals, with cop-
per and cobalt representing the primary sources of export earnings. The country is responsible for
about 3% of the world's copper production and nearly 50% of its cobalt production. Copper pro-
duction is estimated to have increased from 98,500 tons in 2006 to 1.06 million tons in 2014, and
cobalt production rose to 75,560 tons in 2014 from 15,384 tons in 2006 (Banque Centrale du
Congo, 2016). In addition to copper and cobalt, the DRC exports other minerals such as tantalite
(17% of world production), diamonds (12% of world production), and tin (1% of world produc-
tion). Similar to many resourcebased economies, the DRC's exports remain focused on a very lim-
ited number of products and are handicapped by low valueadded, low revenue collection, and
nonrepatriation of capital. In 2012, for example, 92% of exports were concentrated in only three
productscopper, crude oil, and cobaltwhile five products accounted for almost 90% of exports
in the 2000s (Otchia, 2014).
Between 2003 and 2015, the Congolese economy has gained momentum, with high growth
rates and significant foreign direct investment (FDI) inflow. As commodity prices increased and
FDI poured into the country, the DRC achieved the fastest expansion since its independence in
1960. The growth rate has been maintained at an average of 6% between 2003 and 2015, while
the stock of inward FDI has increased threefold compared with 2000 levels (Otchia, 2015). How-
ever, such strong growth has left the poor behind. The income share of the bottom 20% of the
population regressed between 2005 and 2012, while inequality increased (Programme des Nations
Unies pour le développement en République démocratique du Congo [PNUDRDC], 2015). Pov-
erty and welfare outcomes were also relatively poor. According to the DRC's Institut National de
la Statistique (INS, 2014), the incidence of subjective poverty is 73%, and almost half of the
DRC's households perceive themselves to be in worse economic condition. In addition, 55.62% of
households believe that their living standard has decreased, 42.98% have seen their purchasing
power decrease, 48.83% cannot feed themselves, and 74.14% are unable to build savings. This
weak translation of growth into poverty reduction and better living standards raises the level of
urgency with which development policy should be treated, as the commodity boom cannot last for-
ever. How can the DRC translate this unprecedented growth into better employment and higher
living standards? What are the key policies that will facilitate this transformation?
This study strives to shed light on these questions using a topdown, bottomup computable
general equilibrium (CGE) microsimulation model for the DRC. While of unquestionable interest
in many resourcerich countries, these questions have also received considerable critical attention
because of the slow progress seen in improving people's lives around the world (World Bank,
2016). In this vein, increasingly, many African countries are renewing their interest in the develop-
ment of agribusiness and agricultural value chains in light of the contribution of agriculture to food
and nutrition security, poverty reduction, employment, household incomes, and economic growth.
Agriculture is also an important sector of the DRC's economy. However, while its share of total
employment is high, at 71%, its contribution to GDP is much lower, at 20%. Agriculture also uses
only 11% of the total arable land, with a rudimentary technology mostly based on outdated produc-
tion methods. Because of this untapped potential, agriculture has become instrumental to the
growth and development of the DRC. To materialize the recognition of this critical role that agri-
culturalled development plays in the economic diversification process, the DRC government
adopted a National Strategic Plan for Development (PNSD) in 2016. The objective of the PNSD is
to help the DRC reach a highincome status by 2050. The strategy is articulated in the following
three roadmaps: (1) reach middleincome status by 2021 through agricultural transformation, (2)
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